We extract college profiles, admission criteria, SAT/ACT ranges, tuition costs, and scholarship details from BigFuture. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, or Snowflake on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for College Profiles objects from bigfuture.collegeboard.org. All fields typed and schema-versioned.
"college_id": "3404", "institution_name": "University of Michigan-Ann Arbor", "institution_type": "Public, 4-year", "location_city": "Ann Arbor", "location_state": "MI", "undergrad_enrollment": 32282, "graduation_rate": 93.4, "retention_rate": 97.1
| # | college_id | institution_name | institution_type | location_city | location_state | campus_setting |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Admissions Data objects from bigfuture.collegeboard.org. All fields typed and schema-versioned.
"college_id": "3404", "acceptance_rate": 17.7, "application_fee": 75, "common_app_accepted": true, "sat_math_25th": 1360, "sat_math_75th": 1530, "act_composite_25th": 31, "deadline_regular": "2026-02-01"
| # | college_id | acceptance_rate | application_fee | common_app_accepted | coalition_app_accepted | sat_math_25th |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Costs & Financial Aid objects from bigfuture.collegeboard.org. All fields typed and schema-versioned.
"college_id": "3404", "tuition_in_state": 17786, "tuition_out_state": 57273, "room_and_board": 13171, "avg_financial_aid_package": 24891, "percent_receiving_aid": 68.2, "average_student_debt": 21450
| # | college_id | tuition_in_state | tuition_out_state | room_and_board | books_and_supplies | avg_financial_aid_package |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Academics & Majors objects from bigfuture.collegeboard.org. All fields typed and schema-versioned.
"college_id": "3404", "student_faculty_ratio": 15, "popular_majors": "['Computer Science', 'Business Administration', 'Economics']", "degree_types_offered": "["Bachelor's", "Master's", 'Doctoral']", "study_abroad_available": true, "honors_college_available": true
| # | college_id | student_faculty_ratio | popular_majors | all_majors_list | degree_types_offered | study_abroad_available |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Scholarships objects from bigfuture.collegeboard.org. All fields typed and schema-versioned.
"scholarship_id": "SCH-8921", "scholarship_name": "Women in STEM Excellence Award", "provider_name": "Tech Futures Foundation", "award_amount_max": 5000, "deadline_date": "2026-03-15", "essay_required": true, "eligibility_gpa_min": 3.5
| # | scholarship_id | scholarship_name | provider_name | award_amount_min | award_amount_max | deadline_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our BigFuture scraper extracts the full depth of higher education data: from admission percentiles and tuition matrices to demographic breakdowns and scholarship listings. All handled with automated schema validation and bypass mechanisms.
Extract institution name, location, type, setting, size, and graduation metrics across all 3,800+ listed colleges.
Capture acceptance rates, application deadlines, GPA averages, and 25th-75th percentile ranges for SAT and ACT scores.
Track in-state vs out-of-state tuition, room and board costs, average aid packages, and student debt metrics.
Extract gender ratios, ethnic diversity breakdowns, and geographic origin statistics for enrolled undergraduate cohorts.
Map popular majors, complete degree catalogues, student-faculty ratios, and special academic programmes.
Scrape thousands of scholarship listings including award amounts, provider details, eligibility criteria, and deadlines.
Extract housing availability, campus organisation counts, Greek life participation rates, and athletic division affiliations.
Run recurring crawls that only emit records when admission criteria, tuition fees, or application deadlines change.
Clean and standardise string values, convert percentages to decimals, and parse date formats before delivery to your warehouse.
Brief in. Clean data out.
Provide specific college IDs, state filters, or request the entire BigFuture database. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and API payload extraction for bigfuture.collegeboard.org.
Schema validation, null-rate checks, data-type enforcement, and sample outputs before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Educational portals rely heavily on dynamic loading and complex API structures. Here is how we ensure reliable extraction without missing data points.
BigFuture relies heavily on client-side rendering. Instead of fragile DOM scraping, our pipeline intercepts the raw JSON payloads hydrated by Next.js and underlying API calls, ensuring 100% accurate data extraction without layout-dependent failures.
Educational sites deploy WAFs to block automated traffic. We route requests through US-based residential ISP proxies with realistic TLS fingerprints and browser headers, maintaining high success rates without triggering rate limits.
College Board data is deeply nested (e.g., tuition broken down by residency, living arrangement, and degree type). We flatten these complex objects into relational rows or clean, tabular formats suitable for immediate SQL querying.
The scholarship and college search directories cap visible results. We utilise internal API parameters to bypass UI pagination limits, ensuring every single institution and scholarship is captured in the final dataset.
When the College Board updates its data models for a new academic year, fields can shift. Our observability stack detects schema drift and null-rate spikes instantly, allowing us to patch selectors before corrupted data reaches your warehouse.
College counselling platforms and student portals ingest foundational data to power their own proprietary search and matching algorithms.
Universities track competitor tuition rates, admission percentiles, and demographic shifts to adjust their own enrolment strategies.
Independent counsellors build private databases to model acceptance probabilities based on historical SAT/ACT and GPA trends.
Fintech lenders correlate graduation rates, average debt, and post-graduation salary estimates to refine risk models for private student loans.
Policy researchers analyse trends in tuition inflation, financial aid availability, and diversity metrics across different institution types.
Financial aid platforms sync the BigFuture scholarship directory to provide updated award opportunities to their user base.
"BigFuture holds the definitive baseline for US higher education metrics, but extracting it requires navigating complex API payloads and strict rate limits."
Most engineering teams waste weeks building scrapers that break during the annual college data refresh. DataFlirt manages the entire extraction lifecycle — from WAF bypass and payload interception to schema normalisation — delivering clean, warehouse-ready data so your team can focus on product development, not pipeline maintenance.
Everything supported by our bigfuture.collegeboard.org scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Instead of relying on fragile DOM parsing, our Playwright implementations intercept backend API responses and Next.js hydration states, ensuring high-fidelity data capture.
We maintain pools of US-based residential ISP proxies. Rotation happens per-request to distribute load and prevent WAF blacklisting during large-scale directory crawls.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About bigfuture.collegeboard.org scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from bigfuture.collegeboard.org is generally permissible under applicable law, reinforced by rulings like hiQ v. LinkedIn. DataFlirt extracts only public institutional and scholarship data. We do not extract personal student data or circumvent authentication walls.
We utilise US-based residential ISP proxies, full Playwright browser sessions with realistic TLS fingerprints, and request timing modelled on human behaviour. This prevents rate limiting and ensures consistent extraction success.
Yes. We extract the 25th and 75th percentile scores for SAT Math, SAT Reading/Writing, and ACT Composite for every institution that publishes them on BigFuture.
While universities typically update their data annually, we can configure pipelines to run weekly or monthly to capture mid-cycle corrections, deadline extensions, or new scholarship additions.
We extract the exact major strings as they appear on BigFuture. If you require standardisation to CIP (Classification of Instructional Programs) codes, we can implement custom mapping logic in the post-processing phase.
Yes. We can traverse the entire public scholarship directory, extracting award amounts, deadlines, and eligibility criteria across all listed opportunities.
Our minimum engagement involves a complete extraction of the 3,800+ college profiles delivered as a one-off dataset or configured for quarterly updates. Contact us for a scoped quote based on your specific field requirements.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off export of all college profiles or a recurring feed of scholarship deadlines — we scope, build, and operate the pipeline. Tell us what you need.
